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Arif Setiawan

Universitas Muria Kudus

Author-ID : 376776

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Classification of Retinoblastoma Eye Disease on Digital Fundus Images Using Geometric Features and Machine Learning Setiawan, Arif
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6337

Medical image analysis is essential for detecting retinoblastoma tumors due to the ability of this method to assist doctors in examining the morphology, density, and distribution of blood vessels. The classification of normal and retinoblastoma-affected retinas is a preliminary step in treating retinoblastoma tumors. Therefore, this study aimed to propose a new method for classifying normal and retinoblastoma-affected retinas using geometric feature extraction and machine learning. The workflow consisted of (1) fundus image data collection for retinoblastomas, (2) image segmentation, (3) feature extraction process, (4) building a classification model using machine learning, (5) splitting testing and training data, (6) classification process using machine learning methods, and (7) evaluation of classification results using a confusion matrix. The results showed that the segmentation method could detect retinoblastoma areas and extract their geometric features. The SVM method achieved an accuracy of 0.96 while the RF and DT had 0.55 and 0.63, respectively. Moreover, a comparison with previous research showed that the proposed method achieved a 4% improvement in the classification performance. This led to the conclusion that classification using geometric features combined with the SVM on digital fundus images of retinoblastoma eye disease produced the best results.

Peningkatan Keterampilan Digital Marketing dan Pembuatan Konten bagi Pengrajin Gitar Tradisional Setiawan, Arif; Dwi Hermawan, Hardika; Rizki Adhisa, Ryan; Surya Amalia, Pinkan; Tama, Ady; Qolbia Salamah, Naurag
Abdimas Mandalika Vol 4, No 3 (2025): Mei
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/am.v4i3.29831

Abstract: Ngrombo Village, located in Baki District, Sukoharjo Regency, is a prominent guitar craftsmanship center in Indonesia. However, local artisans face significant challenges in product marketing due to limited digital literacy and inadequate adoption of digital marketing strategies. This program aimed to enhance the digital marketing skills of guitar artisans through training and mentorship in digital marketing strategies and content creation. The one-month program involved 50 artisans and employed methods such as lectures, workshops, and hands-on practice. The digital marketing training, led by industry experts, focused on social media optimization and e-commerce utilization. Additionally, a follow-up content creation workshop was conducted to improve product photography and copywriting skills. Evaluation results indicated that 80% of participants improved their understanding of digital marketing, 65% optimized their social media presence, and customer engagement increased by 50%. Challenges included maintaining consistency in business account management and limited access to paid advertising. Long-term solutions require continuous mentorship and the development of data-driven marketing strategies.Abstrak: Desa Ngrombo, Kecamatan Baki, Kabupaten Sukoharjo, merupakan salah satu sentra kerajinan gitar terkemuka di Indonesia. Namun, para pengrajin menghadapi tantangan besar dalam pemasaran produk akibat keterbatasan literasi digital dan minimnya pemanfaatan strategi digital marketing. Program pengabdian ini bertujuan untuk meningkatkan keterampilan pemasaran digital bagi pengrajin gitar melalui pelatihan dan pendampingan dalam strategi digital marketing serta pembuatan konten pemasaran. Kegiatan dilaksanakan selama satu bulan dan diikuti oleh 50 pengrajin gitar, dengan metode penyuluhan, workshop, serta praktik langsung. Pelatihan digital marketing menghadirkan pakar di bidangnya dan berfokus pada optimasi media sosial serta pemanfaatan platform e-commerce. Sebagai tindak lanjut, pelatihan pembuatan konten pemasaran dilakukan untuk meningkatkan keterampilan dalam fotografi produk. Hasil evaluasi menunjukkan bahwa 80% peserta mengalami peningkatan pemahaman digital marketing, 65% mulai mengoptimalkan media sosial mereka, dan terjadi peningkatan interaksi pelanggan hingga 50%. Kendala yang dihadapi meliputi konsistensi dalam pengelolaan akun bisnis serta keterbatasan dalam penggunaan iklan berbayar. Untuk solusi jangka panjang, diperlukan program pendampingan berkelanjutan dan pengembangan strategi pemasaran berbasis data.

Physiotherapy intervention for posture improvement in individual with scoliosis: A case study Adnan Faris Naufal; Setiawan, Arif; Kurnia, Pramudya; Fitri, Anida Azkia
Physical Therapy Journal of Indonesia Vol. 6 No. 1 (2025): January-June 2025
Publisher : Universitas Udayana dan Diaspora Taipei Medical University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51559/ptji.v6i1.232

Background: Scoliosis is a structural spinal deformity marked by an abnormal sideways curvature and a loss of the spine's natural front-to-back alignment, resulting in postural imbalances. This study investigates how physiotherapy interventions improve posture in individuals with scoliosis. Methods: This qualitative descriptive-analytic case study utilized physiotherapy interventions such as stretching exercises, Pilates, core stability training, myofascial release, and manipulation therapy. Outcome measures included a scoliometer (spinal curvature), goniometer (lumbar range of motion), McGill's Torso Muscular Endurance Test Battery (core endurance), volumetric exerciser (lung capacity), measuring tape (limb length), Clarke's angle method (foot arch assessment), and Zebris FDM (body force pressure and center of pressure movement during stance). Results: Physiotherapy improved postural alignment, reducing spinal curvature from 9 degrees to 3 degrees and increasing lumbar flexion from 61 degrees to 75 degrees. Core endurance increased, as evidenced by a 1.06-second improvement in the flexion-extension ratio and a 0.90-second bilateral increase in side-bridge endurance. Limb length discrepancy decreased from 2.5 cm to 0.5 cm, enhancing symmetry in both true and apparent lengths. Foot arch asymmetry also improved, with the right arch increasing from 45 degrees to 46 degrees and the left from 39.7 degrees to 42.5 degrees. Conversely, lung capacity declined from 1363 mL to 1238 mL. Force pressure distribution became more asymmetrical in most cases, particularly affecting the longer limb in individuals with scoliosis, and center of pressure movement increased from 51.5 mm to 76.5 mm, indicating altered balance and postural control. Conclusion: Over two months, physiotherapy effectively improved postural alignment and musculoskeletal function in individuals with scoliosis.

ENHANCING CUSTOMER SATISFACTION THROUGH A WEB-BASED SMARTPHONE REPAIR SERVICE SYSTEM AT WINOV SERVICE Bagus Deva Pratama, Mohammad; Irawan, Yudie; Setiawan, Arif
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13392

The increasing reliance on smartphones has created a demand for efficient repair services. However, many repair businesses still rely on manual processes, causing delays, inefficiencies, and poor customer experiences. This study develops a web-based smartphone repair service system to enhance efficiency, transparency, and customer satisfaction. The system automates repair scheduling, real-time tracking, and customer notifications, minimizing manual intervention. A quantitative research approach was used, collecting data through surveys and system evaluations. Findings show that the system reduces service delays by 35% and improves response time by 42% compared to manual processes. Real-time updates and automated notifications also enhance customer engagement and service transparency. This research contributes to service industries by demonstrating the impact of digital transformation on operational efficiency and customer experience. The results apply not only to smartphone repair services but also to electronics repair, automotive maintenance, and similar sectors requiring efficient service management. These findings offer insights for optimizing digital service frameworks, with potential for further innovation through Artificial Intelligence (AI) integration and blockchain technology for secure service tracking and enhanced transparency.

KOMPARASI METODE SAW DAN AHP-SAW UNTUK SELEKSI PESERTA PELATIHAN DI UPTD BLK KUDUS Andrian, Nawang Alan; Setiawan, Arif; Arifin, Muhammad
JUTIM (Jurnal Teknik Informatika Musirawas) Vol 10 No 1 (2025): JUTIM (Jurnal Teknik Informatika Musirawas) JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jutim.v10i1.2637

Sistem seleksi peserta pelatihan di UPTD Balai Latihan Kerja (BLK) Kabupaten Kudus masih menghadapi kendala dalam hal efisiensi, transparansi, dan akurasi proses seleksi. Permasalahan yang timbul meliputi proses evaluasi yang masih dilakukan secara manual, waktu seleksi yang terbatas, serta belum tersedianya sistem terintegrasi dalam pengambilan keputusan. Penelitian ini bertujuan untuk merancang dan membangun sistem seleksi berbasis web dengan metode Simple Additive Weighting (SAW) dan kombinasi Analytical Hierarchy Process (AHP SAW) guna meningkatkan objektivitas dan ketepatan dalam seleksi peserta. Sistem ini mendukung pemeringkatan peserta berdasarkan beberapa kriteria berbobot seperti hasil tes pengetahuan, wawancara, usia, dan status pekerjaan. Selain itu, sistem menerapkan filter administratif untuk menyaring peserta yang tidak memenuhi persyaratan awal, serta mengintegrasikan fitur notifikasi email otomatis untuk menyampaikan informasi terkait hasil seleksi administratif, jadwal dan hasil seleksi. Hasil pengujian menunjukkan bahwa sistem mampu meningkatkan efisiensi pelaksanaan seleksi, mengurangi kesalahan dalam pengambilan keputusan, dan memperkuat transparansi melalui pemrosesan data yang terstruktur dan terkomputerisasi. Perbandingan metode menunjukkan bahwa AHP SAW menghasilkan pemeringkatan yang lebih objektif dibandingkan SAW biasa karena mempertimbangkan prioritas antar kriteria secara sistematis.

Pembelajaran Teks Cerita Fantasi Melalui Struktur dan Unsur pada Mata Pelajaran Bahasa Indonesia Kelas VII SMP Negeri 1 Tambakboyo Sukmariantika, Alldila Zuneasili; Setiawan, Arif; Prihatini, Arti
Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Vol. 14 No. 1 (2024): Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/literasi.v14i1.10705

This study aims to (1) describe the learning of fantasy story texts for class VII students of SMP Negeri 1 Tambakboyo, (2) describe the learning outcomes of students of SMP Negeri 1 Tambakboyo through the structure and elements of fantasy story texts. This type of research is descriptive qualitative with case study method. The source of the data in this study was fantasy story text written by Indonesian language students and teachers in class VII-F and VII-G of SMP Negeri 1 Tambakboyo. Data collection carried out in this study, namely direct observation, interviews, and data analysis. The results of the research show the following things. First, Tambakboyo 1 Public Middle School students are able to understand fantasy story text material through an integrative learning model. Second, Tambakboyo 1 Public Middle School students are able to understand the structure of fantasy story texts well, namely by mentioning the orientation, complications, and resolution in their writing. Third, in their writing the Tambakboyo 1 Public Middle School students have fulfilled the elements of fantasy story text based on expert opinion, namely by mentioning the theme, plot, characters and characterizations, setting, point of view, and message.

APLIKASI MEDIA DIGITAL MONITORING TAHFIDZ UNTUK MENINGKATKAN KUALITAS HAFALAN SANTRI SMA AL-I’TISHOM Akhror, Ubaidillah; Setiawan, Arif
Jurnal Informatika Vol 9, No 3 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i3.14309

Permasalahan dalam proses monitoring hafalan Al-Qur’an di SMA Al-I’tishom Boarding School adalah masih menggunakan metode manual dalam perncatatan dan evaluasi, yang cenderung tidak efisien dan rawan kehilangan data. Tujuan pada penelitian ini untuk merancang dan mengimplementasikan aplikasi berbasis AppSheet sebagai media digital dalam proses berjalannya program tahfidz seperti pencatatan hafalan, pemantauan, serta evaluasi secara real-time, terstruktur, dan terintegrasi. R&D (Research and Development) dengan pengembangan 4D (Define, Design, Develop, Disseminate) digunakan sebagai metode penelitian pada penelitian ini. Data ini dikumpulkan dengan wawancara, observasi, dan angket kepada 2 pengampu halaqoh. Uji fungsionalitas menggunakan metode black-box medapatkan hasil dengan tingkat keberhasilan 100%. Uji vaslidasi dilakukan oleh 2 ahli media dengan mendapatkan hasil nilai Aiken’s V sebesar 0,825 yang tergolong dalam kategori “Sangat Tinggi”. Penilaian kelayakan oleh ahli media menggunakan skala Likert memperoleh hasil 86% yang berarti aplikasi “Sangat Layak” untuk diimplementasikan. Sedangkan hasil uji pengguna menunjukkan tingkat kepuasan terhadap aplikasi ini dengan memperoleh 91% yang masuk dalam kategotri “Sangat Setuju”. Penelitian dan perancangan ini membuktikan bahwa aplikasi AppSheet efektif sebagai media digital monitoring tahfidz untuk meningkatkan kualitas hafalan santri, serta dapat menggantikan dari metode manual yang kurang efisien ke metode digital yang lebih terstruktur dan efisienetode manual yang kurang efisien ke metode digital yang lebih terstruktur dan efisien.

The Impact of Effriction and Frirage Massage Techniques on Pain and Range of Motion Improvement in Knee Injuries Hasan, Cahulul Rizaldy; Setiawan, Arif; Akhiruyanto, Andry
ACPES Journal of Physical Education, Sport, and Health (AJPESH) Vol. 5 No. 1 (2025): June 2025
Publisher : Universitas Negeri Semarang (UNNES) in cooperation with ACPES (ASEAN Council of Physical Education and Sport)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ajpesh.v5i1.23467

Introduction: Daily physical activities, especially sports, always contain the risk of injury, which most often occurs in the lower extremities, especially the knee joint. Knee injuries are generally caused by direct trauma, excessive pressure, or incorrect movement techniques, resulting in clinical symptoms such as pain, swelling, and decreased range of motion that can interfere with daily activities. Many athletes and the general public experience this problem, so proper and fast treatment is needed. Purpose: This study aims to evaluate the effectiveness of two massage methods, namely effriction and frirage in treating knee injuries with a 2x2 factorial experimental design. Method: The study sample was purposively selected and then divided into four groups based on the type of massage and duration of injury (10 days and 1 month). Two main parameters were measured: pain level using a Visual Analogue Scale (VAS) and joint range of motion using a Goniometer. Data were analysed using SPSS through normality, homogeneity, and Two-Way ANOVA tests to test for differences in treatment effects. Results: The results showed that effriction was more effective in reducing pain at 1 month (58.33%) compared to 10 days (44.44%), while frirage was optimal in the initial phase (34.92%). ROM improvement was more significant on long-term therapy (effriction: 21.64%; frirage: 18.24%). Two-way ANOVA analysis revealed a significant interaction between the massage method and the duration of injury (p<0.05). Conclusion: The selection of massage technique should consider the duration of injury, with effriction for long-term treatment and frirage for the acute phase for optimal rehabilitation outcomes.

Sistem Informasi Administrasi Surat Rekomendasi Desa Sukamukti Setiawan, Arif
ALMUISY: Journal of Al Muslim Information System Vol. 3 No. 1 (2024): ALMUISY: Journal of Al Muslim Information System
Publisher : STMIK Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Lingkungan masyarakat di pedesaan merupakan tujuan awal dari rangkaian untuk memperkenalkan teknologi informasi kepada masyarakat. Permasalahan Desa sukamukti kecamatan bojongmangu dan cukup mendapatkan perhatian adalah tentang pembuatan surat dikantor Desa yang cukup memakan waktu lama karena masih bersifat manual. Oleh karena itu, perlu adanya inisiatif atau gagasan untuk dapat mengalihfungsikan pembuatan surat dengan memanfaatkan teknologi informasi yaitu dengan pembuatan surat berbasis web. Dalam penelitian ini metode yang digunakan yaitu teknik pengumpulan data yang mencakup observasi, wawancara dan studi pustaka serta metode pengembangan sistem yang meliputi analisis kebutuhan software, desain, code generation, testing dan support. Diharapkan dengan adanya sistem baru ini dapat memberikan keakuratan data, efisiensi, dan keefektifan yang tinggi bagi sistem administrasi di Desa sukamukti kecamatan bojongmangu.

Analisis Sentimen Ulasan Pengguna Aplikasi Crunchyroll, iQIYI, Wibuku di Google Play Store Menggunakan Metode Random Forest Fathon, Ulil; Arifin, Muhammad; Setiawan, Arif
Jurnal Sistem Informasi dan E-Bisnis Vol 7 No 2 (2025): Agustus
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jusibi.v7i2.603

This study evaluates the performance of the Random Forest model in classifying sentiment in reviews on three platforms, namely Crunchyroll, iQIYI, and Wibuku. The evaluation results show an accuracy of 82% on Crunchyroll, 83% on iQIYI, and 84% on Wibuku. On Crunchyroll, the model demonstrated superiority in recognizing negative reviews (precision 88%, recall 84%), while on iQIYI and Wibuku, the best performance was achieved on positive sentiment with a precision of 94% and 92%, respectively. However, the precision values for negative sentiment on iQIYI (62%) and Wibuku (66%) indicate room for improvement, particularly in enhancing the model's ability to identify negative-toned reviews. Overall, Random Forest proved effective for cross-platform sentiment analysis; however, further optimization is needed to improve the performance balance across sentiment categories.

Co-Authors - Supriyono Abda’u, Muhammad Fishal Putra Abdillah, Hasri Abdul Muid Abdurrosyid Abdurrosyid Adi Nugroho Adi Purnomo Adi Saputra, Diyas Aditya Adinata, Ferdyan Candra Aditya, Azka Bima Adnan Faris Naufal Afif, Faisal Agus Pujianto Agus Winarno, Agus Agustinus Agustinus Aisyi, Valerian Hakas Riha’ Aji, Galih Lastiko Akhror, Ubaidillah Almahdy, Muhammad Albi Amalia Safitri Ambarsari, Ika Sartika Amini, Aisyah Ananda, Dea Mierela Andalas, Eggy Fajar Andika Dwi Nurliansyah Andri Akhiruyanto Andrian, Nawang Alan Andy Prasetyo Utomo Aninda Nidhommil Hima Anindita Hasniati Rahmah Anshori, Ammar Miftahudin Apridiansyah, Yovi Ardani Ardani Ardhan Ismail Arif Prasetyo Wibowo Arif Pristianto Arini Nur Rohmah Arrohman, Muhammad Rizki Arti Prihatini asmaraloka, afilda maharani Asy Syifaur Roisah Rufaida Avanti Vera Risti Pramudyani Azhar, Ahmad Farid Al Aziz, Zainul Azzahra, Nabila Azzahro, Fatimah Bagus Deva Pratama, Mohammad Bayu Pratama, Bayu Bima Putra Pradata, Aria Bintang Bahariawan Cahyo, Aditya Nur Candra, Adiska Rani Ditya Catri, Indra Catur Edi Widodo Daroe Iswatiningsih Deavisca, Kenza Viorel Dedi Haryanto DENI SETIAWAN Derana, Ganes Tegar Devi Afriyantari Puspa Putri Dewangga, Mahendra Wahyu Diah Priyawati Diana Laily Fithri Diantari, Febri Rizki Dimas Yoga Ardyansyah Dwi Ernawati DWI RAHMAWATI Dwi Yuwono Puji Sugiharto, Dwi Yuwono Puji Dwiyanto Djoko Pranowo Dyah Sawitri Edy Purwanto Eko Darmanto Endang Eni Kamal Eny Pemilu Kusparlina Eri Barlian Erna Herawati, Erna Faizah, Ishmah Nur Fajar Nugraha Fajariyansyah, Arif Farras, Adilah Fathon, Ulil Fauzan . Febriansyah, Ilham Arif Felix, Igor Firda, Fathiyyatu Assa'diy Fitri, Anida Azkia Ghofar, Muhammad Abyyu Gigit Mujianto Giova, Giova H Hadiyanto Haidar, Nova Briyan Hang, Nguyen Thi Thu Hardika Dwi Hermawan Hari Asri, Hazqan Haried Novriando Harsono Hartono, Rudi Haryeni Hasan, Cahulul Rizaldy Hasany, Iddi Octavian Heldi Hermansyah, Muhammad Ardi Hermawan Hermawan Hikhmah, Fitria Nurul Hima, Anindha Nidhomil Hiu, Ho Ngoc Hutapea, Ricardo O. M. Ihza, Andika Ijlal, Muhammad Yusuf Luthfi Ilham, Ilham Jaya Kusuma Dwi Syahputra Imam Taufiqurrahman Imbo, Yuldi Christiani Ina Kusumawardani Alina Fakhri Indang Dewata Indriani Zabrina Putri Ipang Setiawan Irawan, Yosan Ananda Irfanuddin, Muhammad Fikri Irma Nirmala Irsan Tricahyadinata Islamy, Yans Fithratul Ismiyati, Ismiyati Izzatul Arifah Jelibseda Jepri, Jumadi Julfiyatun, Rossa Kamaludin, Ahmad Karlina, Nelly Kartika Senjarini Karyanto, Muhammad Dhaffa Kharis Ferdiansyah Kharisma, Rendra Khoiroh, Zahro Istitho'atul Khoirul Anwar, Mohammad Kurniawan, Moh Adi Kurniawan, Rizky Dwi KUSNAN Lamma, Louis Hermanus Lamma, Luis H Lina Alfiyani Maharani, Vanessa Mahendra, Mahir Mahfuzhi, AR Walad Mardhiati, Retno Maryanti, Herdina Maulana, Mokhammad Irvan Maulana, Muhammad Rizky Maulindar, Joni Mazala Istiqoma, Binta Melati, Inka Krisma MUCHAMMAD FAIZIN Muhammad Arifin Muhammad Fajri Muhammad Mursyid Muhammad Rendy Mujiati, Dwi Sinta Mulyana, Deny Murtadha, Naji Ammaruddin Musaffak Musaffak Musaffak Muslikha Ningrum, Rini Nanda Putra, Wafig Nanik Susanti Nasuka Nasuka, Nasuka Netrawati, Netrawati Nila Nugraha Ningrum Nisa, Kharisatun Nita Wijayanti, Ni Putu Noor Latifah Nugraheni, Imma Redha Nugroho, Adiv Prasetyo Nurul Fatimah Oktavia, Elfitri Oo, Cherry Zin Pambudi, Satrio Paray Theo Lonando Pinaldin, Ahmed Fisqiya Pramudya Kurnia Prastyo, Andik Pratama, Satria Adi Pratomo Setiaji Priyanto Priyanto Priyanto Puji Muniarty Purwanto, Ari Joko Purwati Anggraini, Purwati Putra Abda’u, Muhammad Fishal Putra Janaz Alfinalis Putra, Dimas Radika Putri , Nuristiqomah Dwi Putri Kurnia Handayani Putri, Nourma Fatmala Qoiriningrum, Adde Putri Qolbia Salamah, Naurag Qolbia, Naurah QULUB, ALFI RIFQI R Rhoedy Setiawan Rahmadani Siregar, Dewi Rahman, Chirza Rahmatika, Alifia Ayu Rahmawati, Amelia Raka Purnama, Bramasetya Rendratama, Wahyu Adhi Revia Oktaviani Rizki, Winahyu Pandu Rohmad Widodo Rosyada, Mila Rosyid, Fadhila Achmadi Ryan Rizki Adhisa Safitri, Dyah Nurul Safrida Ika Febrianti Safriyanti, Mia Saghita Pratama, Rivan salamah salamah Salisa, Sabina Es Samsudin, Syafri Santi Pratiwi Tri Utami Saputra, Fikri Hamdhan Dwi Sari, Ananda Mutiara Sartono Joko Santosa Saskia Aila Virda Sattya Arimurti Saumanuk, Ismael Setiawan, Faris Apri Shabrina Ramadhani, Nur Sholva, Yus Siswadi Siti Ifa Septiana Sobihin, Sobihin Soedjatmiko Soedjatmiko Sonny, Michael Sri Narni, Nani Sri Wahyu Basuki Sriyono Subali Subali Sudeka, Muzhadan Suhendrinal Sujalwo Sujalwo, Sujalwo Sukmariantika, Alldila Zuneasili Sulistyani, S Supriyono Supriyono Supriyono Supriyono Surya Amalia, Pinkan Surya, Lintang Surya, Pinkan Suryapranatha, Dicky Susatyo Handoko Susi Herawati Sutoyo Sutoyo Syafaat, Mokhamad Syafiul Muzid Syifau, Yuni Tafta Mahendra, Alfianas Shofi Tama, Ady Taufik Akhyar Taufik Eko Susilo Tengku Riza Zarzani N Tinus, Agus TUNA, MIRANDA SAHFIRA Ulinnuha, Muhammad Ullul Azmie, Fadila ulumuddin, Muhammad Ihya Umar, Iswandi Umi Mahmudah Utami, Mila Cahya VIVIN EKA RAHMAWATI Wahid, Burhanudin Nur Wahyu Mahendra, Indra Wahyu Wibowo, Angga Wahyuningsih Wahyuningsih Wibowo, Hari Tri Widany, Chelyn Audya Widya Kaharani Putri Wijiyanto, Dwi Winonazada, Rety Wira, Rahmayani Ayu WISNU SAPUTRA Wiwit Agus Triyanto Wulandari, Nadia Putri Yoanas, Sahenda Yudhistira, Dewangga Yudie Irawan Yuli Kusumawati Yulia Putri Paradida Yuliandika Saputra, Dwi Yuningtyastuti Yuningtyastuti Yunisa Oktavia Yusuf, Henry Baharudin Zaidan Syauqi, Gutti Zainur, Zainur Zidni Muhammad Ardiansyah

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